Validation of 3D Adjoint Based Error Estimation and Mesh Adaptation for Sonic Boom Prediction. Jones, W T, Nielsen, E J, & Park, M A In pages 1–20, Reno, NV, 2006. \AIAA Paper\ 2006-1150. doi abstract bibtex A procedure used to validate a 3-D mesh adaptation scheme based on adjoint-based error estimation with application to sonic boom propagation is described. The method is based on a cost function formulation that integrates the near-field pressure differential over a prescribed surface. The uncertainty in the computation of this cost function is used to drive automatic h-r mesh adaptation such that errors in the functional are reduced without human intervention. The primary configurations used to validate the technique are a family of simple cone-cylinder geometries for which experimental data is available. Computed results for inviscid flow at Mach numbers of 1.26 and 1.41 are presented at various distances in the near-field up to 20 body lengths. These results are compared against the available test data and show good agreement.
@inproceedings{jones2006,
address = {Reno, NV},
title = {Validation of {3D} {Adjoint} {Based} {Error} {Estimation} and {Mesh} {Adaptation} for {Sonic} {Boom} {Prediction}},
doi = {10.2514/6.2006-1150},
abstract = {A procedure used to validate a 3-D mesh adaptation scheme based on adjoint-based error estimation with application to sonic boom propagation is described. The method is based on a cost function formulation that integrates the near-field pressure differential over a prescribed surface. The uncertainty in the computation of this cost function is used to drive automatic h-r mesh adaptation such that errors in the functional are reduced without human intervention. The primary configurations used to validate the technique are a family of simple cone-cylinder geometries for which experimental data is available. Computed results for inviscid flow at Mach numbers of 1.26 and 1.41 are presented at various distances in the near-field up to 20 body lengths. These results are compared against the available test data and show good agreement.},
publisher = {\{AIAA Paper\} 2006-1150},
author = {Jones, W T and Nielsen, E J and Park, M A},
year = {2006},
pages = {1--20},
}
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